chandansgowda / jssstu-ml-lab

JSSSTU Machine Learning Lab

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JSSSTU Machine Learning Lab

  1. (a) Visualize the n-dimensional data usinh 3D surface plots. (b) Write a program to implement the Best First Search Algorithm.

  2. (a) Visualize the n-dimensional data using contour plots. (b) Write a program to implement the A* algorithm.

  3. (a) Visualize the n-dimensional data using heat-map (b) Write a program to implement Min-Max algorithm.

  4. (a) Visualize the n-dimensional data usinh Box-plot. (b) Write a program to implement Alpha-beta pruning algorithm.

  5. Write a program to develop the Naive Bayes classifier on Titanic dataset.

  6. Write a program to develop the KNN classifier with Euclidean distance for the k value as 3 based on split up of training and testing dataset as 70-30 on Glass dataset.

  7. Write a program to develop the KNN classifier with Manhattan distance for the k value as 5 based on split up of training and testing dataset as 80-20 on Fruit dataset.

  8. Write a program to perform unsupervised K-means clustering technique on Iris dataset.

  9. Write a program to perform agglomeratiove clustering based on single-linkage and complete-linkage criteria.

  10. Write a program to develop Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithms.

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JSSSTU Machine Learning Lab


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